From: Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data
AUC score | |
---|---|
ADAS-cog total 11 | 0.7024 |
ADAS-cog total 13 | 0.7248 |
ADAS-cog subscore Q1 Word Recall | 0.6830 |
ADAS-cog subscore Q2 Commands | 0.1581 |
ADAS-cog subscore Q3 Construction | 0.4899 |
ADAS-cog subscore Q4 Delayed Word | 0.6842 |
ADAS-cog subscore Q5 Naming | 0.3202 |
ADAS-cog subscore Q6 Ideational | 0.5142 |
ADAS-cog subscore Q7 Orientation | 0.4836 |
ADAS-cog subscore Q8 Word | 0.6062 |
ADAS-cog subscore Q9 Recall | 0.2581 |
ADAS-cog subscore Q10 Spoken | 0.3914 |
ADAS-cog subscore Q11 Word Finding | 0.5436 |
ADAS-cog subscore Q12 Comprehension | 0.2756 |
ADAS-cog subscore Q14 Number Cancellation | 0.4451 |
ADAS-cog subscore Q1-Q14 | 0.7598 |
Age | 0.5123 |
Years of Education | 0.5090 |
MMSE Score | 0.5916 |
CDR-SB | 0.6064 |
ADAS total 13 + ADAS subscores | 0.7561 |
ADAS total 13 + ADAS subscores + MMSE + CDR-SB | 0.7674 |
FAQ | 0.6874 |
LDEL: Logical Memory delayed | 0.6573 |
LIMM: Logical Memory immediate | 0.6136 |
MRI (237) | 0.7214 |
Lab tests (18) | 0.5348 |
APOE genotyping | 0.5473 |
TRAA: Trail Making Test: Part A | 0.5944 |
TRAA: Trail Making Test: Part B | 0.6187 |